Application of a simulation model for assessing integration of smallholder shifting cultivation and sheep production in Yucatan, Mexico

Abstract

Simulation models are effective tools to examine interactions between livestock, cropping systems, households, and natural resources. Our study objective was to use an integrated livestock and crop model to assess the outcomes from selected suites of management decisions observed in smallholder sheep-cropping systems of Yucatan, Mexico. The scenarios contrasted specialized systems versus mixed farming, and evaluated the outcomes of increased crop-livestock integration. Mixed enterprise scenarios involving sheep provided more income than specialized enterprises, and capitalized on a lower price of on-farm maize grain, efficient utilization of surplus labor, and availability of common land. Labor and management income was greatest for the unintegrated and partially integrated crop and livestock scenarios. It was more profitable for producers to sell excess grain and maize stover, and use common land to feed the livestock, suggesting that increased integration does not always result in improved outcomes. The results are consistent with a system not yet pushed to the point where integration is inevitable. For all sets of scenarios, the model structure was able to accommodate subtle management differences to produce appropriate biophysical, labor, and economic outcomes. We conclude there is potential to use similar model development methods to describe other crop-livestock systems, thus providing tools for learning, scenario analysis, and impact assessment. (C) 2010 Elsevier Ltd. All rights reserved.

Keywords

Crop-livestock interactions; Crop-livestock systems; Milpa; Sheep; Shifting cultivation; System dynamics

Published in

Agricultural Systems
2011, Volume: 104, number: 1, pages: 13-19

UKÄ Subject classification

Agricultural Science
Animal and Dairy Science


Publication identifier

DOI: https://doi.org/10.1016/j.agsy.2010.08.006

Permanent link to this page (URI)

https://res.slu.se/id/publ/89158